def testSubmitRequest(self):
log = logging.getLogger('testSubmitRequest')
j = Jobs()
j1Data = {
'exec': '/bin/date',
'args': ['1', '2'],
'stdin': 'std.in',
'stdout': 'std.out',
'stderr': 'std.err',
'wd': 'wd_path',
'wt': '2h',
'numNodes': {
'min': 2,
'max': 3
},
'numCores': {
'min': 1,
'max': 2
},
'iterate': [1, 10],
'after': 'j2'
}
j.add(name='j1', **j1Data)
req = json.dumps({'request': 'submit', 'jobs': j.jobs()})
log.debug('submit request: %s' % str(req))
req = Request.Parse(json.loads(req))
def testJobConversion(self):
j = Jobs()
log = logging.getLogger('testJobConversion')
# create a simple job description
j1Data = {
'exec': '/bin/date',
'args': ['1', '2'],
'stdin': 'std.in',
'stdout': 'std.out',
'stderr': 'std.err',
'wd': 'wd_path',
'wt': '2h',
'numNodes': {
'min': 2,
'max': 3
},
'numCores': {
'min': 1,
'max': 2
},
'iterate': [1, 10],
'after': 'j2'
}
j.add(j1Data, name='j1')
self.assertEqual(len(j.jobNames()), 1)
self.assertEqual(j.jobNames()[0], 'j1')
# get document with standard descriptions
stdJobs = j.jobs()
log.debug('got output document: %s' % (str(stdJobs)))
self.assertEqual(len(stdJobs), 1)
self.assertEqual(stdJobs[0]['name'], 'j1')
# compate standard job description with original, simple one
stdJob = stdJobs[0]
self.assertEqual(stdJob['execution']['exec'], j1Data['exec'])
self.assertEqual(len(stdJob['execution']['args']), len(j1Data['args']))
# for idx, arg in enumerate(stdJob['execution']['args']):
# self.assertEqual(arg, j1Data['args'][idx])
self.assertEqual(stdJob['execution']['args'], j1Data['args'])
self.assertEqual(stdJob['execution']['stdin'], j1Data['stdin'])
self.assertEqual(stdJob['execution']['stdout'], j1Data['stdout'])
self.assertEqual(stdJob['execution']['stderr'], j1Data['stderr'])
self.assertEqual(stdJob['execution']['wd'], j1Data['wd'])
self.assertEqual(stdJob['resources']['wt'], j1Data['wt'])
self.assertEqual(stdJob['resources']['numCores'], j1Data['numCores'])
self.assertEqual(stdJob['resources']['numNodes'], j1Data['numNodes'])
self.assertEqual(stdJob['iterate'], j1Data['iterate'])
self.assertEqual(stdJob['dependencies']['after'], j1Data['after'])
# reverse convertion - std -> simple
j1Data_conv_name, j1Data_conv = j.convertStdToSimple(stdJob)
self.assertEqual(j1Data_conv_name, 'j1')
self.assertEqual(j1Data_conv, j1Data)
def __submit_jobs(self, campaign, submit_order):
print("Starting submission of tasks to QCG Pilot Job Manager")
if submit_order == SubmitOrder.RUN_ORIENTED_CONDENSED:
for run in campaign.list_runs():
self._qcgpjm.submit(Jobs().addStd(
self._get_encoding_and_exec_task(campaign, run)))
elif submit_order == SubmitOrder.RUN_ORIENTED:
for run in campaign.list_runs():
self._qcgpjm.submit(Jobs().addStd(
self._get_encoding_task(campaign, run)))
self._qcgpjm.submit(Jobs().addStd(
self._get_exec_task(campaign, run)))
elif submit_order == SubmitOrder.PHASE_ORIENTED:
for run in campaign.list_runs():
self._qcgpjm.submit(Jobs().addStd(
self._get_encoding_task(campaign, run)))
for run in campaign.list_runs():
self._qcgpjm.submit(Jobs().addStd(
self._get_exec_task(campaign, run)))
elif submit_order == SubmitOrder.EXEC_ONLY:
for run in campaign.list_runs():
self._qcgpjm.submit(Jobs().addStd(
self._get_exec_only_task(campaign, run)))
def test_JobValidation(self):
j = Jobs()
try:
j.add(name='j1', args=['/bin/date'])
self.fail('Missing exec name accepted')
except InvalidJobDescription:
pass
self.assertEqual(len(j.jobNames()), 0)
try:
j.addStd(name='j1')
self.fail('Missing exec name accepted')
except InvalidJobDescription:
pass
self.assertEqual(len(j.jobNames()), 0)
try:
j.addStd(execution={'exec': '/bin/date'})
self.fail('Missing job name accepted')
except InvalidJobDescription:
pass
self.assertEqual(len(j.jobNames()), 0)
def test_JobNameUniq(self):
j = Jobs()
# validate job name uniqness
j.add(name='j1', exec='/bin/date')
self.assertEqual(len(j.jobNames()), 1)
self.assertEqual(j.jobNames()[0], 'j1')
try:
j.add(name='j1', exec='/bin/date')
self.fail("Duplicated job names in job list")
except InvalidJobDescription:
pass
try:
j.addStd(name='j1', execution={'exec': '/bin/date'})
self.fail("Duplicated job names in job list")
except InvalidJobDescription:
pass
j.remove('j1')
j.addStd(name='j1', execution={'exec': '/bin/date'})
self.assertEqual(len(j.jobNames()), 1)
self.assertEqual(j.jobNames()[0], 'j1')
try:
j.add(name='j1', exec='/bin/date')
self.fail("Duplicated job names in job list")
except InvalidJobDescription:
pass
def testSerialization(self):
log = logging.getLogger('testSerialization')
j1 = Jobs()
j1Data = {
'name': 'j1',
'exec': '/bin/date',
'args': ['1', '2'],
'stdin': 'std.in',
'stdout': 'std.out',
'stderr': 'std.err',
'wd': 'wd_path',
'wt': '2h',
'numNodes': {
'min': 2,
'max': 3
},
'numCores': {
'min': 1,
'max': 2
},
'iterate': [1, 10],
'after': 'j2'
}
j1.add(**j1Data)
j2Data = {
'name': 'j2',
'exec': '/bin/echo',
'args': ['--verbose'],
'stdin': 'echo.in',
'stdout': 'echo.out',
'stderr': 'echo.err',
'wd': 'echo.wd',
'wt': '10m',
'numNodes': {
'exact': 1
},
'numCores': {
'exact': 4
},
'iterate': [1, 2],
'after': 'j1'
}
j1.add(**j2Data)
j1.saveToFile('jobs.json')
j2 = Jobs()
j2.loadFromFile('jobs.json')
self.assertEqual(j1.jobNames(), j2.jobNames())
self.assertEqual(j1.jobs(), j2.jobs())
from qcg.appscheduler.api.manager import Manager
from qcg.appscheduler.api.manager import LocalManager
from qcg.appscheduler.api.job import Jobs
m = LocalManager(cfg={'log_level': 'DEBUG'}, server_args=['--log', 'debug'])
# m = Manager(cfg={'log_level': 'DEBUG'}, server_args=['--log', 'debug'])
# get available resources
print("available resources:\n%s\n" % str(m.resources()))
# submit jobs and save their names in 'ids' list
jobs = Jobs()
$submitted_jobs_list
ids = m.submit(jobs)
# wait until submited jobs finish
m.wait4(ids)
# get detailed information about submited and finished jobs
print("jobs details:\n%s\n" % str(m.info(ids)))
m.finish()
m.stopManager()
m.cleanup()
"args": exec_args,
"wd": cwd,
"stdout": my_campaign.campaign_dir + '/execute_' + key + '.stdout',
"stderr": my_campaign.campaign_dir + '/execute_' + key + '.stderr'
},
"resources": {
"numCores": {
"exact": 1
}
},
"dependencies": {
"after": ["encode_" + key]
}
}
m.submit(Jobs().addStd(encode_task))
m.submit(Jobs().addStd(execute_task))
# Wait for completion of all PJ tasks and terminate the PJ manager
print(">>> Wait for completion of all PJ tasks")
m.wait4all()
m.finish()
m.stopManager()
m.cleanup()
print(">>> Syncing state of campaign after execution of PJ")
def update_status(run_id, run_data):
my_campaign.campaign_db.set_run_statuses([run_id],
uq.constants.Status.ENCODED)
import time
from qcg.appscheduler.api.manager import Manager
from qcg.appscheduler.api.job import Jobs
#m = Manager("tcp://127.0.0.1:5555")
m = Manager()
print("available resources:\n%s\n" % str(m.resources()))
print("submited jobs:\n%s\n" % str(m.list().names()))
#j = Jobs()
#j.add( 'j1', { 'exec': '/bin/date' } )
ids = m.submit(Jobs().
add( name = 'j1', exec = '/bin/date', stdout = 'j1.stdout' ).
add( name = 'j2', exec = '/bin/hostname', args = [ '--fqdn'], stdout = 'j2.stdout')
)
status = m.status(ids)
status = m.status('j1')
time.sleep(2)
status = m.status(ids)
m.wait4all()
#m.wait4(ids)
#info = m.info(ids)
m.remove(ids)
def test_cooling_pj():
print("Job directory: " + jobdir)
print("Temporary directory: " + tmpdir)
# ---- CAMPAIGN INITIALISATION ---
print("Initializing Campaign")
# Set up a fresh campaign called "cooling"
my_campaign = uq.Campaign(name='cooling', work_dir=tmpdir)
# Define parameter space
params = {
"temp_init": {
"type": "float",
"min": 0.0,
"max": 100.0,
"default": 95.0
},
"kappa": {
"type": "float",
"min": 0.0,
"max": 0.1,
"default": 0.025
},
"t_env": {
"type": "float",
"min": 0.0,
"max": 40.0,
"default": 15.0
},
"out_file": {
"type": "string",
"default": "output.csv"
}
}
output_filename = params["out_file"]["default"]
output_columns = ["te", "ti"]
# Create an encoder, decoder and collation element for PCE test app
encoder = uq.encoders.GenericEncoder(template_fname=jobdir +
'/tests/cooling/cooling.template',
delimiter='$',
target_filename='cooling_in.json')
decoder = uq.decoders.SimpleCSV(target_filename=output_filename,
output_columns=output_columns,
header=0)
collater = uq.collate.AggregateSamples(average=False)
# Add the PCE app (automatically set as current app)
my_campaign.add_app(name="cooling",
params=params,
encoder=encoder,
decoder=decoder,
collater=collater)
vary = {"kappa": cp.Uniform(0.025, 0.075), "t_env": cp.Uniform(15, 25)}
# Create the sampler
if uqmethod == 'pce':
my_sampler = uq.sampling.PCESampler(vary=vary, polynomial_order=2)
else:
my_sampler = uq.sampling.QMCSampler(vary=vary, n_samples=10)
# Associate the sampler with the campaign
my_campaign.set_sampler(my_sampler)
# Will draw all (of the finite set of samples)
my_campaign.draw_samples()
# ---- QCG PILOT JOB INITIALISATION ---
# set QCG-PJ temp directory
qcgpj_tempdir = mkdtemp(None, ".qcgpj-", my_campaign.campaign_dir)
# establish available resources
cores = 4
# switch on debugging of QCGPJ API (client part)
client_conf = {
'log_file': qcgpj_tempdir + '/api.log',
'log_level': 'DEBUG'
}
# create local LocalManager (service part)
m = LocalManager(
['--log', 'debug', '--nodes',
str(cores), '--wd', qcgpj_tempdir], client_conf)
# This can be used for execution of the test using a separate (non-local) instance of PJManager
#
# get available resources
# res = m.resources()
# remove all jobs if they are already in PJM
# (required when executed using the same QCG-Pilot Job Manager)
# m.remove(m.list().keys())
print("Available resources:\n%s\n" % str(m.resources()))
# ---- EXECUTION ---
# Execute encode -> execute for each run using QCG-PJ
print("Starting submission of tasks to QCG Pilot Job Manager")
for run in my_campaign.list_runs():
key = run[0]
run_dir = run[1]['run_dir']
enc_args = [
my_campaign.db_type, my_campaign.db_location, 'FALSE', "cooling",
"cooling", key
]
exec_args = [
run_dir, 'easyvvuq_app',
'python3 ' + jobdir + "/tests/cooling/cooling_model.py",
"cooling_in.json"
]
encode_task = {
"name": 'encode_' + key,
"execution": {
"exec": 'easyvvuq_encode',
"args": enc_args,
"wd": my_campaign.campaign_dir,
"stdout":
my_campaign.campaign_dir + '/encode_' + key + '.stdout',
"stderr":
my_campaign.campaign_dir + '/encode_' + key + '.stderr'
},
"resources": {
"numCores": {
"exact": 1
}
}
}
execute_task = {
"name": 'execute_' + key,
"execution": {
"exec": 'easyvvuq_execute',
"args": exec_args,
"wd": my_campaign.campaign_dir,
"stdout":
my_campaign.campaign_dir + '/execute_' + key + '.stdout',
"stderr":
my_campaign.campaign_dir + '/execute_' + key + '.stderr'
},
"resources": {
"numCores": {
"exact": 1
}
},
"dependencies": {
"after": ["encode_" + key]
}
}
m.submit(Jobs().addStd(encode_task))
m.submit(Jobs().addStd(execute_task))
# wait for completion of all PJ tasks and terminate the PJ manager
m.wait4all()
m.finish()
m.stopManager()
m.cleanup()
print("Syncing state of campaign after execution of PJ")
def update_status(run_id, run_data):
my_campaign.campaign_db.set_run_statuses([run_id],
uq.constants.Status.ENCODED)
my_campaign.call_for_each_run(update_status,
status=uq.constants.Status.NEW)
print("Collating results")
my_campaign.collate()
# Post-processing analysis
print("Making analysis")
if uqmethod == 'pce':
analysis = uq.analysis.PCEAnalysis(sampler=my_sampler,
qoi_cols=output_columns)
else:
analysis = uq.analysis.QMCAnalysis(sampler=my_sampler,
qoi_cols=output_columns)
my_campaign.apply_analysis(analysis)
results = my_campaign.get_last_analysis()
# Get Descriptive Statistics
stats = results['statistical_moments']['te']
print("Processing completed")
return stats
def test_pce_pj(tmpdir):
print("Running in directory: " + cwd)
# establish available resources
cores = 1
# set location of log file
# client_conf = {'log_file': tmpdir.join('api.log'), 'log_level': 'DEBUG'}
# switch on debugging (by default in api.log file)
client_conf = {'log_level': 'DEBUG'}
# switch on debugging (by default in api.log file)
m = LocalManager(['--nodes', str(cores)], client_conf)
# This can be used for execution of the test using a separate (non-local) instance of PJManager
#
# get available resources
# res = m.resources()
# remove all jobs if they are already in PJM
# (required when executed using the same QCG-Pilot Job Manager)
# m.remove(m.list().keys())
print("Available resources:\n%s\n" % str(m.resources()))
print("Initializing Camapign")
# Set up a fresh campaign called "pce"
my_campaign = uq.Campaign(name='pce', work_dir=tmpdir)
# Define parameter space
params = {
"kappa": {
"type": "real",
"min": "0.0",
"max": "0.1",
"default": "0.025"
},
"t_env": {
"type": "real",
"min": "0.0",
"max": "40.0",
"default": "15.0"
},
"out_file": {
"type": "str",
"default": "output.csv"
}
}
output_filename = params["out_file"]["default"]
output_columns = ["te", "ti"]
# Create an encoder, decoder and collation element for PCE test app
encoder = uq.encoders.GenericEncoder(template_fname=pce_app_dir +
'/pce.template',
delimiter='$',
target_filename='pce_in.json')
decoder = uq.decoders.SimpleCSV(target_filename=output_filename,
output_columns=output_columns,
header=0)
# Add the PCE app (automatically set as current app)
my_campaign.add_app(name="pce",
params=params,
encoder=encoder,
decoder=decoder)
# Create a collation element for this campaign
collater = uq.collate.AggregateSamples(average=False)
my_campaign.set_collater(collater)
# Create the sampler
vary = {"kappa": cp.Uniform(0.025, 0.075), "t_env": cp.Uniform(15, 25)}
my_sampler = uq.sampling.PCESampler(vary=vary, polynomial_order=1)
# Associate the sampler with the campaign
my_campaign.set_sampler(my_sampler)
# Will draw all (of the finite set of samples)
my_campaign.draw_samples()
# Create & save PJ configurator
print("Creating configuration for QCG Pilot Job Manager")
PJConfigurator(my_campaign).save()
# Execute encode -> execute for each run using QCG-PJ
print("Starting submission of tasks to QCG Pilot Job Manager")
for key in my_campaign.list_runs():
encode_job = {
"name": 'encode_' + key,
"execution": {
"exec": 'easyvvuq_encode',
"args": [my_campaign.campaign_dir, key],
"wd": cwd,
"env": {
"EASYPJ_CONF": easypj_conf
},
},
"resources": {
"numCores": {
"exact": 1
}
}
}
execute_job = {
"name": 'execute_' + key,
"execution": {
"exec":
'easyvvuq_execute',
"args": [
my_campaign.campaign_dir, key, 'easyvvuq_app',
pce_app_dir + "/pce_model.py", "pce_in.json"
],
"wd":
cwd,
"env": {
"EASYPJ_CONF": easypj_conf
},
},
"resources": {
"numCores": {
"exact": 1
}
},
"dependencies": {
"after": ["encode_" + key]
}
}
m.submit(Jobs().addStd(encode_job))
m.submit(Jobs().addStd(execute_job))
print("Waiting for completion of all QCG PJ tasks")
# wait for completion of all PJ tasks and terminate the PJ manager
m.wait4all()
m.finish()
m.stopManager()
m.cleanup()
print("Collating results")
my_campaign.collate()
# Update after here
# Post-processing analysis
print("Making analysis")
pce_analysis = uq.analysis.PCEAnalysis(sampler=my_sampler,
qoi_cols=output_columns)
my_campaign.apply_analysis(pce_analysis)
results = my_campaign.get_last_analysis()
# Get Descriptive Statistics
stats = results['statistical_moments']['te']
sobols = results['sobols_first']['te']
print("Stats: ")
print(stats)
print("Sobols: ")
print(sobols)
print("Processing completed")
import zmq
import time
from qcg.appscheduler.api.manager import Manager
from qcg.appscheduler.api.job import Jobs
#m = Manager("tcp://127.0.0.1:5555")
m = Manager(cfg={'log_level': 'DEBUG', 'poll_delay': 1})
print("available resources:\n%s\n" % str(m.resources()))
print("submited jobs:\n%s\n" % str(m.list()))
#j = Jobs()
#j.add( 'j1', { 'exec': '/bin/date' } )
ids = m.submit(Jobs().add(name='msleep2', exec='/bin/env',
stdout='env.stdout').add(name='echo',
exec='/bin/date',
stdout='date.stdout'))
m.list()
m.status(ids)
m.info(ids)
m.wait4(ids)
m.remove(ids)
m.finish()
import zmq
import time
from qcg.appscheduler.api.manager import Manager
from qcg.appscheduler.api.job import Jobs
#m = Manager("tcp://127.0.0.1:5555")
m = Manager()
print("available resources:\n%s\n" % str(m.resources()))
print("submited jobs:\n%s\n" % str(m.list().names()))
#j = Jobs()
#j.add( 'j1', { 'exec': '/bin/date' } )
ids = m.submit(Jobs().
add( name = 'j_${it}', iterate = [ 0, 100 ], exec = '/bin/sleep', args = [ '2s' ] )
)
#status = m.status(ids)
#time.sleep(2)
m.wait4all()
#m.wait4(ids)
#info = m.info(ids)
#m.remove(ids)
m.finish()
#time.sleep(1)
